{"title":"微阵列——规划你的实验。","authors":"Jean Yee Hwa Yang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The rapid increase in the use of microarray studies has generated many questions on how to plan and design experiments that will effectively utilize this technology. Investigators often require answers to questions relating to microarray platforms, RNA samples, options for replication, allocation of samples to arrays, sample sizes, appropriate downstream analysis, and many others. Careful consideration of these issues is critical to ensure the efficiency and reliability of the actual microarray experiments, and will assist in enhancing interpretability of the experimental results.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"141 ","pages":"71-85"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microarrays--planning your experiment.\",\"authors\":\"Jean Yee Hwa Yang\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The rapid increase in the use of microarray studies has generated many questions on how to plan and design experiments that will effectively utilize this technology. Investigators often require answers to questions relating to microarray platforms, RNA samples, options for replication, allocation of samples to arrays, sample sizes, appropriate downstream analysis, and many others. Careful consideration of these issues is critical to ensure the efficiency and reliability of the actual microarray experiments, and will assist in enhancing interpretability of the experimental results.</p>\",\"PeriodicalId\":18460,\"journal\":{\"name\":\"Methods in molecular medicine\",\"volume\":\"141 \",\"pages\":\"71-85\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Methods in molecular medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in molecular medicine","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The rapid increase in the use of microarray studies has generated many questions on how to plan and design experiments that will effectively utilize this technology. Investigators often require answers to questions relating to microarray platforms, RNA samples, options for replication, allocation of samples to arrays, sample sizes, appropriate downstream analysis, and many others. Careful consideration of these issues is critical to ensure the efficiency and reliability of the actual microarray experiments, and will assist in enhancing interpretability of the experimental results.